Scalable and fast SVM regression using modern hardware.
Zeyi WenRui ZhangKotagiri RamamohanaraoLi YangPublished in: World Wide Web (2018)
Keyphrases
- support vector
- support vector machine svm
- support vector machine
- classification and regression problems
- regression problems
- support vector machines for classification
- hardware and software
- low cost
- ridge regression
- real time
- support vector regression
- relevance vector machine
- regression model
- multi class
- kernel function
- kernel ridge regression
- commodity hardware
- feature selection
- linear regression
- hardware implementation
- standard svm
- hyperplane
- support vectors
- svm classification
- regression method
- knn
- structural risk minimization
- gaussian processes
- multi class classification
- model selection
- regression algorithm
- generalization ability
- massively parallel
- svm classifier
- nonlinear regression
- reproducing kernel hilbert space
- training data
- image processing
- computing systems
- hardware architecture
- low latency
- simple linear
- learning machines
- binary classification
- classification method
- computer systems
- regression function
- maximum margin
- feature extraction
- neural network